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book article EST / book article ENG

Automated training set size reduction for detection of small and thin objectsPihlak, Rene; Riid, Andri12th International Conference on Information Systems and Advanced Technologies "ICISAT 2022" : Intelligent Information, Data Science and Decision Support System2023 / p. 423-433 https://doi.org/10.1007/978-3-031-25344-7_39 Conference Proceedings at Scopus Article at Scopus

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Edge intelligence resource consumption by UAV-based IR object detectionPolukhin, Andrii; Gordienko, Yuri; Leier, Mairo; Jervan, Gert; Rokovyi, Oleksandr; Alienin, Oleg; Stirenko, SergiiUAVM '23 : proceedings of the 2023 Workshop on UAVs in multimedia : capturing the world from a new perspective2023 / p. 57-61 https://doi.org/10.1145/3607834.3616566

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Effects of annotation quality on model performanceAlhazmi, Khaled; Alsumari, Walaa; Seppo, Indrek; Podkuiko, Lara; Simon, Martin2021 International Conference on Artificial Intelligence in Information and Communication (ICAIIC), 13-16 April 20212021 / p. 063–067 https://doi.org/10.1109/ICAIIC51459.2021.9415271

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Exploring deep learning based object detection architecturSaddique, Muhammad Saddique; Raza, Ahsan; Abideen, Zain Ul; Khan, Shah Nawaz2020 17th International Bhurban Conference on Applied Sciences and Technology (IBCAST), Islamabad, Pakistan, 20202020 / p. 255-259 https://doi.org/10.1109/IBCAST47879.2020.9044558

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Multi-stage deep learning networks for automated assessment of electricity transmission infrastructure using fly-by imagesManninen, Henri; Ramlal, Craig J.; Singh, Arvind; Kilter, Jako; Landsberg, MartElectric power systems research2022 / art. 107948 https://doi.org/10.1016/j.epsr.2022.107948 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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6

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Object detection for military surveillance using distributed multimodal smart sensorsAstapov, Sergei; Preden, Jürgo-Sören; Ehala, Johannes; Riid, Andri2014 19th International Conference on Digital Signal Processing2014 / p. 366-371 : ill

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Object detection for rescue operations by high-altitude infrared thermal imaging collected by unmanned aerial vehiclesPolukhin, Andrii; Gordienko, Yuri; Jervan, Gert; Stirenko, SergiiPattern Recognition and Image Analysis : 11th Iberian Conference, IbPRIA 2023, Alicante, Spain, June 27–30, 2023 : proceedings2023 / p. 490-504 https://doi.org/10.1007/978-3-031-36616-1_39 Conference proceedings at Scopus Article at Scopus

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8

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Open urban mmWave radar and camera vehicle classification dataset for traffic monitoringSoom, Jürgen; Leier, Mairo; Janson, Karl; Tuhtan, Jeffrey A.IEEE Access2024 / p. 65128 - 65140 https://doi.org/10.1109/ACCESS.2024.3397013 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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PCGOD: Enhancing object detection with synthetic data for scarce and sensitive computer vision tasksRemmas, Walid; Lints, Martin; Uudmae, Jaak JoonasIEEE Access2025 / p. 91325-91333 https://doi.org/10.1109/ACCESS.2025.3572719

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A systematic review of cutting-edge radar technologies : applications for unmanned ground vehicles (UGVs)Ersü, Can; Petlenkov, Eduard; Janson, KarlSensors2024 / art. 7807 https://doi.org/10.3390/s24237807 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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11

book article

Toward automated utility pole condition monitoring : a deep learning approachRamlal, Craig J.; Singh, Arvind; Rocke, Sean; Manninen, Henri; Kilter, Jako; Landsberg, MartProceedings of 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), 26-28 October, 20202020 / p. 255–259 https://doi.org/10.1109/ISGT-Europe47291.2020.9248797

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Related publications 1
- Data-driven asset management and condition assessment methodology for transmission overhead lines = Ülekandevõrgu õhuliinide andmepõhine varahalduse ja seisundi hindamise metoodika

Number of records 11, displaying 1 - 11

1. multi-classed object detection
2. object detection
3. anticompetitive object/effect
4. Digital Object Memory
5. dynamic object
6. free object of a variety
7. generic object-oriented substation event
8. immediate object
9. object
10. object constraint languages
11. object detecting
12. object model
13. object oriented concepts
14. object segmentation
15. object similarity
16. object-oriented approach
17. object-oriented design
18. object-oriented programming
19. object-oriented programming languages
20. object-relational database
21. amoxicillin detection
22. anomaly detection
23. anomaly detection for system logs
24. antibiotic detection
25. antibiotics detection
26. aspect detection
27. asynchronous fault detection
28. attack detection
29. barotrauma detection system
30. Barotrauma detection system sensors
31. behaviour-based intrusion detection systems
32. body detection
33. botnet detection
34. capacitively coupled conductivity detection
35. change detection
36. chemical detection
37. community detection
38. compu ter-aided detection(CAD)
39. computer-aided detection
40. computer‐aided detection
41. contactless conductivity detection
42. contactless conductivity detection (C4D)
43. crack detection
44. crash detection
45. cyber intrusion detection
46. defect detection
47. detection
48. detection efficiency
49. detection engineering
50. detection method
51. detection methods
52. detection of anomalous end user nodes
53. detection of hydrogen isotopes
54. distributed detection
55. early detection
56. early intrusion detection
57. energy detection
58. error detection
59. ESI-MS and IM detection
60. Event detection
61. extraction and detection methods
62. face detection
63. Face Manipulation Detection
64. failure detection
65. fall detection
66. fault detection
67. fault detection and diagnoses
68. fault detection and diagnosis
69. Fish detection
70. fouling detection
71. harmonic detection
72. hepatitis C virus (HCV) detection
73. hubs detection
74. IED detection
75. image-based crack detection
76. indicident detection and response
77. indirect UV absorbance detection
78. intrusion detection
79. intrusion detection system
80. intrusion detection system (IDS)
81. intrusion detection systems
82. island detection
83. islanding detection
84. label-free detection
85. lane detection
86. LED fluorescence detection
87. leg detection
88. light detection and ranging
89. light detection and ranging (LiDAR)
90. Light Detection and Ranging (LiDAR) point cloud
91. limit of detection
92. lock-in detection
93. loop-closure detection
94. malware detection
95. marker detection
96. mobile malware detection
97. money laundering detection systems
98. monitoring and detection
99. Multi-valued Simulation for Hazard Detection in Digital Circuits
100. mutant detection
101. network anomaly detection
102. network intrusion detection system
103. nodules detection
104. oil-spill detection
105. outlier’s detection methods
106. outliers detection
107. peak detection
108. phytoplankton detection methods
109. plagiarism detection
110. position detection
111. precursor detection
112. protein detection
113. proton detection
114. radar detection
115. ramp event detection
116. recycled FPGA detection
117. residual current detection
118. robust detection
119. scene text detection
120. short-circuit detection
121. small molecule detection
122. speech activity detection
123. Suicidal ideation detection
124. synchronous detection
125. tyre detection
126. unmanned aerial vehicle detection systems
127. unsupervised outlier detection
128. UV detection
129. vehicle detection
130. vortex detection
131. 3D lane detection

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